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  2. Image texture - Wikipedia

    en.wikipedia.org/wiki/Image_texture

    Artificial texture example. Natural texture example. An image texture is the small-scale structure perceived on an image, based on the spatial arrangement of color or intensities. [1] It can be quantified by a set of metrics calculated in image processing. Image texture metrics give us information about the whole image or selected regions. [1]

  3. Local binary patterns - Wikipedia

    en.wikipedia.org/wiki/Local_binary_patterns

    Multi-block LBP: the image is divided into many blocks, a LBP histogram is calculated for every block and concatenated as the final histogram. Volume Local Binary Pattern(VLBP): [11] VLBP looks at dynamic texture as a set of volumes in the (X,Y,T) space where X and Y denote the spatial coordinates and T denotes the frame index. The neighborhood ...

  4. Image segmentation - Wikipedia

    en.wikipedia.org/wiki/Image_segmentation

    The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted from the image (see edge detection). Each of the pixels in a region are similar with respect to some characteristic or computed property, [ 3 ] such as color , intensity , or texture .

  5. Gabor filter - Wikipedia

    en.wikipedia.org/wiki/Gabor_filter

    2D Gabor filters have rich applications in image processing, especially in feature extraction for texture analysis and segmentation. [12] defines the frequency being looked for in the texture. By varying , we can look for texture oriented in a

  6. Category:Image segmentation - Wikipedia

    en.wikipedia.org/wiki/Category:Image_segmentation

    Download as PDF; Printable version; ... Pages in category "Image segmentation" ... Watershed (image processing) Y. YaDICs

  7. Co-occurrence matrix - Wikipedia

    en.wikipedia.org/wiki/Co-occurrence_matrix

    Whether considering the intensity or grayscale values of the image or various dimensions of color, the co-occurrence matrix can measure the texture of the image. Because co-occurrence matrices are typically large and sparse, various metrics of the matrix are often taken to get a more useful set of features.

  8. Watershed (image processing) - Wikipedia

    en.wikipedia.org/wiki/Watershed_(image_processing)

    This flooding process is performed on the gradient image, i.e. the basins should emerge along the edges. Normally this will lead to an over-segmentation of the image, especially for noisy image material, e.g. medical CT data. Either the image must be pre-processed or the regions must be merged on the basis of a similarity criterion afterwards.

  9. Texture mapping - Wikipedia

    en.wikipedia.org/wiki/Texture_mapping

    A texture map [5] [6] is an image applied (mapped) to the surface of a shape or polygon. [7] This may be a bitmap image or a procedural texture.They may be stored in common image file formats, referenced by 3D model formats or material definitions, and assembled into resource bundles.